Process Automation 2 min read

Shaping the future of BPM systems using AI and low-code

An overview of AI-driven low-code platforms for business process automation and practical solutions from leading Ukrainian IT companies.

The outlook for AI-driven low-code adoption in BPM systems

By 2026, over 75% of new enterprise applications are projected to be built using low-code or no-code platforms. Integrating artificial intelligence into business process management (BPM) systems significantly accelerates development and enables continuous, real-time process optimization.

Key benefits and use cases

Combining AI and low-code delivers several key advantages to businesses:

  • Speed and automation: Automated generation of forms, process logic, and API integrations significantly reduce time-to-market.
  • Adaptability: Systems learn from execution data, identifying bottlenecks and preventing delays.
  • Accessibility: Intuitive AI prompts for business users reduce the reliance on highly skilled developers.

Key application scenarios include intelligent task routing, automated document generation using NLP, and resource allocation optimization.

Insights from Ukrainian developers

Ukrainian IT companies are actively adopting these technologies. The Intecracy Group consortium develops the UnityBase platform, which serves as the foundation for numerous enterprise solutions. Scriptum, a low-code BPM system designed for rapid process automation, is built on this platform. Meanwhile, Data Management IG offers advanced capabilities for enterprise operations.

The Softengi team integrates specialized AI agents (such as bidXplore, salesXplore, and solveXplore) into enterprise solutions to enhance their adaptability. Meanwhile, IQusion focuses on BPM implementation and systems integration for the public sector.

The effect on the market

The rapid shift toward AI-driven low-code BPM systems means businesses must adapt to significantly faster development cycles to remain competitive. This transition reduces the reliance on highly skilled developers, allowing companies to optimize operations in real-time and deploy automated solutions far more rapidly than traditional methods allow.

How to prepare

  • Adopt low-code platforms: Utilize established frameworks like UnityBase and Scriptum to accelerate your enterprise software development.
  • Deploy specialized AI agents: Integrate targeted AI tools, such as bidXplore, salesXplore, or solveXplore, to enhance operational adaptability and automate complex workflows.
  • Empower non-technical staff: Train business users to leverage intuitive AI prompts for task routing and document generation, reducing IT bottlenecks.

Prepared by a Software Ukraine member. Original publication.

Sources & materials

Materials and sources used in this article.

  1. Original publication — intecracy.com